class_docstr: A Conversational Question Answering Challenge.
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(self, dl_manager):
      """Returns SplitGenerators."""
      urls_to_download = {
          "train": _TRAIN_DATA_URL,
          "test": _DEV_DATA_URL,
      }
      downloaded_files = dl_manager.download_and_extract(
          urls_to_download
      )
  
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs={
                  "filepath": downloaded_files["train"],
              },
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.TEST,
              gen_kwargs={
                  "filepath": downloaded_files["test"],
              },
          ),
      ]
  
file_path: datasets/tensorflow_datasets/question_answering/coqa/coqa.py
imports: from __future__ import annotations
  import json
  import numpy
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
label_desc: Use image node_id 2 for calling the Coqa obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: list